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ORCIDConstantin Philippenko
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Books and Theses
- 2023
[b1]Constantin Philippenko:
Compression bidirectionnelle pour l'apprentissage fédéré hétérogène. (Bidirectional compression for Federated Learning in a heterogeneous setting). Polytechnic Institute of Paris, Palaiseau, France, 2023
Conference and Workshop Papers
- 2022
- [c2]Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux:
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. NeurIPS 2022 - 2021
- [c1]Constantin Philippenko, Aymeric Dieuleveut:
Preserved central model for faster bidirectional compression in distributed settings. NeurIPS 2021: 2387-2399
Informal and Other Publications
- 2024
- [i5]Constantin Philippenko, Kevin Scaman, Laurent Massoulié:
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting. CoRR abs/2409.08771 (2024) - 2023
- [i4]Constantin Philippenko, Aymeric Dieuleveut:
Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning. CoRR abs/2308.01358 (2023) - 2022
- [i3]Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux:
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. CoRR abs/2210.04620 (2022) - 2021
- [i2]Constantin Philippenko, Aymeric Dieuleveut:
Preserved central model for faster bidirectional compression in distributed settings. CoRR abs/2102.12528 (2021) - 2020
- [i1]Constantin Philippenko, Aymeric Dieuleveut:
Artemis: tight convergence guarantees for bidirectional compression in Federated Learning. CoRR abs/2006.14591 (2020)
Coauthor Index
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